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Usability, Acceptability, and Barriers to Implementation of a Collaborative Agenda-Setting Intervention (CASI) to Promote Person-Centered Ovarian Cancer Care: Development Study

Usability, Acceptability, and Barriers to Implementation of a Collaborative Agenda-Setting Intervention (CASI) to Promote Person-Centered Ovarian Cancer Care: Development Study

To overcome these barriers, we used a design thinking approach to develop a Collaborative Agenda-Setting Intervention (CASI) to promote person-centered ovarian cancer care [17]. The CASI is a patient portal- and electronic health record (EHR)–integrated tool that aims to improve patient and caregiver well-being by routinely eliciting patients’ and caregivers’ values, preferences, and supportive care needs.

Rachel A Pozzar, James A Tulsky, Donna L Berry, Jeidy Batista, Paige Barwick, Charlotta J Lindvall, Patricia C Dykes, Michael Manni, Ursula A Matulonis, Nadine J McCleary, Alexi A Wright

JMIR Cancer 2025;11:e66801

Exploring the Relationship Between Smartphone GPS Patterns and Quality of Life in Patients With Advanced Cancer and Their Family Caregivers: Longitudinal Study

Exploring the Relationship Between Smartphone GPS Patterns and Quality of Life in Patients With Advanced Cancer and Their Family Caregivers: Longitudinal Study

Each year, an estimated 1.96 million individuals are expected to receive a cancer diagnosis in 2023 [1]. Projections indicate a near 25% increase in cancer diagnoses by 2032 when it is estimated that 22.5 million US individuals will have a history of cancer [2]. With cancer care transitioning increasingly to home settings, the impact of cancer will increasingly stretch beyond the individual diagnosed to those family and friend caregivers who provide support [3].

Kyungmi Lee, Andres Azuero, Sally Engler, Sidharth Kumar, Frank Puga, Alexi A Wright, Arif Kamal, Christine S Ritchie, George Demiris, Marie A Bakitas, J Nicholas Odom

JMIR Form Res 2025;9:e59161

Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

In total, 86.7% (235/271) of cases included an inconsistent response to 1 or more verifiable items, and 16.2% (44/271) included a response to a hidden item. Every case that included a response to a hidden item and had valid timestamp data (25/271, 9.2%) exhibited a survey completion time under 2 minutes. After consulting with our institution’s IRB, we removed fraudulent cases from the study without remuneration.

Rachel Pozzar, Marilyn J Hammer, Meghan Underhill-Blazey, Alexi A Wright, James A Tulsky, Fangxin Hong, Daniel A Gundersen, Donna L Berry

J Med Internet Res 2020;22(10):e23021